Best Practices: Creating A Data-Driven EHSQ Programme

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Executive Summary

EHS and quality (EHSQ) programmes have undergone several evolutions over the past two decades, moving from a historical pen-and-paper and tick-the-box compliance standard, towards the goal of a modern, technologically advanced, proactive function. Throughout this transformation, data – and the management of data – have  become foundational assets, which can elevate or prevent optimized operations. EHSQ functions face numerous challenges when upgrading their personnel, technology and processes, but efforts to do so will create a more robust and versatile programme in the long term. 
While challenging, building strong EHSQ data management provides major benefits
Access to quality data is more essential than ever in today’s operational landscape
Technology proliferation exposes gaps and barriers
A data-driven EHSQ function is an effective EHSQ function
Developing a data-driven foundation for EHSQ programme success has its start in people, technology and processes
The human element is critical, no matter how advanced the technology
Solutions, connected to the human element, accelerate operations exponentially
The best-prepared people and most appropriate tools are lost if not aligned via proper workflows
Figure 1. Overall EHS involvement in ESG initiatives
Figure 2. EHS function digitization strategy over the next two years
Figure 3. Foundational elements of a strong, data-driven EHSQ function 

About the Authors

Nathan Goldstein

Nathan Goldstein

Senior Manager

Nathan is a Senior Manager at Verdantix, specializing in EHS software and the convergence of sustainability, EHS and operational risk. He leads research that helps corporate d…

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Bill Pennington

Bill Pennington

VP Research

Bill is VP Research at Verdantix, where he leads analysis on the evolving and interconnected landscapes of EHS, quality, AI and enterprise risk management. His research helps …

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